Double-layer parallelization for hydrological model calibration on HPC systems
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- 作者：Ang Zhanga ; zhanga11@mails.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Tiejian Lia ; litiejian@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yuan Sia ; siy13@mails.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Ronghua Liua ; b ; waxle@sina.com" class="auth_mail" title="E-mail the corresponding author ; Haiyun Shia ; c ; shihaiyun@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Xiang Lia ; b ; ideal.thu@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Jiaye Lia ; li-jy13@mails.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Xia Wud ; wuxiazuishuai@163.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Digital Yellow River Integrated Model ; Genetic algorithm ; HPC job scheduling ; Parallel computing ; Parameter calibration
- 刊名：Journal of Hydrology
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：535
- 期：Complete
- 页码：737-747
- 全文大小：2731 K
文摘
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A double-layer parallelization for model calibration on HPC systems is developed.
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A parallelized model as the lower-layer is managed using the HPC scheduler APIs.
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Simulations with different parameters as the upper-layer run in parallel on an HPC.
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The method significantly improves the efficiency of hydrological model calibration.
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The influence of parameters on simulation results can be easily analyzed.
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